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When Downtime Isn’t an Option: Performance Optimization Analytics in the Era of the Customer
Jeff Henry
Mainframe
CA Technologies
VP Product Management
MFT04S
Seth Miller
AIG
Director, Mainframe Resource Planning, Automation and Performance Testing
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Abstract
In the era of the customer, preventing system downtime and fixing performance
issues before they occur is more critical than ever. Discover how the power of IT
analytics can help you deliver improved customer experience through root cause
analysis and actionable insight to prevent problems before they occur and resolve
them faster if they do. See how you can correlate data from multiple sources for
real-time prediction and increased insights into the behavior of your mainframe
systems and databases. Whether you are currently doing IT analytics manually,
using a variety of tools, an expert or a novice, you won’t want to miss this
informative session and learn about new analytics innovations that can help you
reduce costs, increase operational efficiency and delight your customers.
Jeff Henry
CA Technologies
VP, Product Management
Seth Miller
AIG
Director, Mainframe Resource Planning
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How do I deliver a flawless experience every time an application touches the mainframe?
In the application economy it’s all about your customers.You need to think about your mainframe reframed.
Connect mobile-to-mainframe applications
Create mainframe infrastructure flexibility
for the future
Unleash the power of data on the mainframe
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SOURCES: IBM, Gartner, Aberdeen Research, Enterprise Systems Media
Growth Drives New Demands
40 Trillion mobile transactions per day by 2025
Exponential Growth of Transactions and Data is Driving New Demands on the Data Center
71% of corporate data resides on the Mainframe systems
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DEVELOPMENT
Impact on Stakeholders
SECURITY IT OPERATIONS
DELIVER QUALITY APPS FASTERLeverage detailed analytics to improve
apps quality and performance.
BETTER INSIGHTBreadth and depth of visibility into app
performance, crashes and end-user behavior. Anticipate and
respond to resource needs.
ANTICIPATE SECURITY RISKSProactive detection of security risks.
Remediate breaches before damage to enterprise resources and brand occurs.
LINE OF BUSINESS Need to make timely data-driven decisions regarding opportunities and risks for the business.
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The ITOA Universe Framework for CA IT Analytics Used to classify data center products into analytics capability and value for enterprise
Value
Adapted from Gartner BI Analytics, IBM Breaking Away with business analytics, and othersDifficulty
What happened?
Descriptive Analytics Why did it
happen?
What will happen?
Diagnostic Analytics
Predictive Analytics
What do we do
about it?
Prescriptive Analytics Make it
Happen
Automation(Optional)
Commonly held view is that Predictive and beyond is what is Differentiating or Transformational
Monitoring
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What We Hear From Users
31%
36%
40%
43%
48%
Lack of visibility into information andprocesses
Difficulty reintegrating analysis
Cost
Complexity of managing so many differentsolutions
Complexity of managing such a largeimplementation
Source: 2015 CA Sponsored Research: Vanson Bourne Global Big Data User Survey
92%admit to major challenges managing their organization’s infrastructure to support current and future Big Data initiatives
COMPLEXITY IS 2 OF THE 5 LARGEST CHALLENGES IN MANAGING BIG DATA ENVIRONMENTS
Complexity - The complex environments and tools take time for people to develop required expertise. This complexity continues to grow.
Data - Users are inundated with data instead of actionable information. The amount of data continues to grow exponentially.
Knowledge - Knowledge is held by a few key users and is not easily accessible across the organization.
Sharing - Sharing information is an arduous process across a number of different tools.
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We’re One AIG
The world’s leading
insurance organization,
with more than 90 million
customers around the
globe.
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Actionable Insight for AIG
Easier and more effective access to historic data allows
us to compare current performance, and “out of
bounds” conditions
We’ve spent way too long having to dig into data to find “what
happened” and “what changed”
DATAAnalytics enable us to more accurately monitor system
component performance by time-of-day • day-of-week •
seasonal various
THRESHOLDSTHE SYSTEM HAS TO
“TALK TO US”
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IT Operational Analytics impact on Performance Management
How do you view the maturity level of IT Operational Analytics (ITOA)?How do you see the market moving to be more predictive in nature?How do you drive greater efficiency in Performance Management with analytics solutions?
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What do you see as the primary challenges that can be solved with the use of analytical insights ?
How do you overcome these challenges today?
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What advice would you offer companies who are struggling
to meet the challenges posed by
this ever growing complexity & volume of data and events?
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Evolution of IT Operational Experience
Historically customers have demanded vendors provide
flexible ‘toolkits’ for experts to customize and use
Increasingly customers want ‘adaptive expert systems’ that learn their
environment and support non-experts in making the right decisions
SHIFTS IN THE DESIRED EXPERIENCE
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CA Performance Analytics
Proactively monitor
and triage
mainframe
performance issues
as they begin to
unfold
Decrease helpdesk call volume
Rapid assisted
triage will decrease
MTTR and reduce
downtime
Accelerates
learning for the
more junior
workforce
Avoid problems
before they
impact SLAs
EARLY DETECTION OF SYSTEM PERFORMANCE ISSUES BEFORE THEY DISRUPT END USER EXPERIENCE
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Application Performance Diagnostics
Embedding usable MAT diagnostic measurements in the triage and problem resolution process
Dynamic
Thresholds
Calculated thresholds based on analysis of historic and near-time system data
Policy Effectiveness Ratings
Monitor the effectiveness of manually created policies to drain false positives from operational experience
Performance AnalyticsSummary
Integrated Enterprise
Monitoring Experience
Metric, policy and interaction consistency between APM, UIM and MF Performance experience
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Design Thinking at CA – Come Collaborate!
User & Buyer Research - interviews, observations, surveys, focus groups, strategy testing
Market Analysis - competitive, win/loss, intersecting trends
Customer and Internal Ideation - explore unmet needs that CA can address commercially
Design Thinking Workshops - cross-functional teams engage in exercises to connect with customer need and generate ideas
Idea Testing - ideas tested with buyers, users and sales for commercial appeal
Concept Testing - top ideas turned in to product concepts and retested and refined
Collaborative Development - Agile sprint reviews, design/architectural reviews, prototype testing
Market Testing - ongoing testing of business case with customers, analysts and sales
Usability Testing - structured testing of design quality and end user success
Problem Validation
Solution Validation
Experience Validation
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Recommended Sessions
SESSION # TITLE DATE/TIME
MFX09S Taking IT Analytics to the Next Level WED 11/18 at 1:00 pm
MFT15TNew Mainframe IT Analytics: Actionable Insight into
Root Cause Analysis of Performance IssuesWED 11/18 at 3:45 pm
MFT08SAnalyst Expert View: Mainframe in the Application Economy - Gary Barnett Chief Analyst Ovum
THUR 11/19 at 10:30 am
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Follow Conversations At…
WHAT’S NEXT:
MainframeIT Analytics Interactive
product planning discussions
Real-time onsite collaboration
Take the opportunity to influence our product development. Help ensure that what we deliver is what you need and want.
Share your requirements
Give feedback on product designs
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© 2015 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
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For Informational Purposes Only
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